Data & AI Platform Solutions Architect

Databricks

United States

Remote

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Databricks is seeking a Solutions Architect to own the technical strategy for assigned accounts, guiding architecture discussions and platform adoption. You will partner with customer leads across data engineering, ML/AI, and analytics to design scalable, production-grade solutions on cloud platforms, traveling up to 30%.

You are a seasoned technologist with strong coding, cloud experience, and a passion for shaping how customers leverage data and AI at scale.

Qualifications

  • 6+ years in solutions architecture or equivalent senior technical role.
  • Proficient in Python and SQL with live-coding and debugging skills.
  • Deep expertise in distributed data systems architecture, pipelines and lakehouse patterns.
  • Proficient with the Databricks Platform and ability to develop a technical specialization.
  • Lead architecture discussions with senior stakeholders and whiteboarding.
  • Experience deploying to public cloud (AWS, Azure, or GCP) with governance.
  • Willingness to travel up to 30%.
  • Bachelor's or Master's in CS/Engineering or equivalent.

Responsibilities

  • Own end-to-end technical strategy for accounts, from discovery to deployment.
  • Lead complex architecture discussions for scalable, production-grade solutions.
  • Advise customer architects, engineering leads, and Directors as a trusted advisor.
  • Drive technical wins with custom-built solutions and differentiated approaches.
  • Orchestrate cross-functional resources to deliver comprehensive customer solutions.
  • Influence product direction by providing structured feedback on customer needs.

Skills

Python
SQL
Distributed data systems
Architectural design
Cloud platforms

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

Databricks Platform

Job description

Databricks is seeking a Solutions Architect to own the technical strategy for assigned accounts, guiding architecture discussions and platform adoption. You will partner with customer leads across data engineering, ML/AI, and analytics to design scalable, production-grade solutions on cloud platforms, traveling up to 30%.

You are a seasoned technologist with strong coding, cloud experience, and a passion for shaping how customers leverage data and AI at scale.

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